controlled by a program written in the LabVIEW development environment [ 18 ] running on the host computer. This provides a user-friendly graphical interface for control of the vector (distances moved, time-lapse parameters, etc.) and imaging sensor ( Figure 3 ). The microcontroller sketch and LabVIEW software are available at https://github.com/UoNMakerSpace/themal-imager-software . Once acquired, image sets are processed for leaf temperature values at multiple points on each rosette using macros written for the ImageJ/FIJI image analysis platforms [ 19 , 20 ]. 2.1.4. Performance and Results Operating characteristics of the Thermal Imager are given in Table 2 . For comparison, characteristi
Open resource ↗UoNMakerSpace/themal-imager-software · lines:39-47Unverified paper record
Low-Cost Automated Vectors and Modular Environmental Sensors for Plant Phenotyping
Sensors · 11 Jun 2020 · 10.3390/s20113319
Abstract
High-throughput plant phenotyping in controlled environments (growth chambers and glasshouses) is often delivered via large, expensive installations, leading to limited access and the increased relevance of "affordable phenotyping" solutions. We present two robot vectors for automated plant phenotyping under controlled conditions. Using 3D-printed components and readily-available hardware and electronic components, these designs are inexpensive, flexible and easily modified to multiple tasks. We present a design for a thermal imaging robot for high-precision time-lapse imaging of canopies and a Plate Imager for high-throughput phenotyping of roots and shoots of plants grown on media plates. Phenotyping in controlled conditions requires multi-position spatial and temporal monitoring of environmental conditions. We also present a low-cost sensor platform for environmental monitoring based on inexpensive sensors, microcontrollers and internet-of-things (IoT) protocols.
Plant phenotyping relevance
植物の熱画像ロボット、根・シュート用プレートイメージャ、環境センサープラットフォームを開発しており、表現型取得基盤が研究の中心である。
abstractWe present two robot vectors for automated plant phenotyping under controlled conditions.
abstractWe present a design for a thermal imaging robot for high-precision time-lapse imaging of canopies and a Plate Imager for high-throughput phenotyping of roots and shoots of plants grown on media plates.
Code and data availability
The paper is a hardware/software design paper for low-cost phenotyping vectors and an IoT environmental sensor platform. It contains no public phenotype/trait datasets or plant images, but the authors explicitly deposit all 3D-printed hardware files, microcontroller sketches, LabVIEW control software, PCB schematics/fc
vidual directories for each plate position with unique filenames including acquisition time and date. Experimental settings can be saved as a configuration file and re-loaded on subsequent experimental runs, ensuring that image sets are appended to the same directory. The microcontroller sketch and LabVIEW code are available at https://github.com/UoNMakerSpace/plate-imager-software . 2.2.4. Performance Characteristics of the Plate Imager are given in Table 3 . For comparison, characteristics of a previously published research system [ 26 ] and a typical commercially-available actuator are also given. The Plate Imager outperforms the CPIB Imaging Robot (see Table 2 ) in all measured parameter
Open resource ↗UoNMakerSpace/plate-imager-software · lines:48-56This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.